Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px
init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
#load data
df = px.data.gapminder()
df.head()
Recreate the barplot below that shows the population of different continents for the year 2007.
Hints:
# YOUR CODE HERE
df_2007 = df.query('year==2007')
df_2007_new = df_2007.groupby('continent').sum()
fig = px.bar(df_2007_new,
x="pop",
y=df_2007_new.index,
color=df_2007_new.index,
orientation='h',
#text_auto=True
)
#fig.update_yaxes(categoryorder='total ascending')
fig.show()
# YOUR CODE HERE
df_2007 = df.query('year==2007')
df_2007_new = df_2007.groupby('continent').sum()
fig = px.bar(df_2007_new,
x="pop",
y=df_2007_new.index,
color=df_2007_new.index,
orientation='h',
#text_auto=True
)
fig.update_yaxes(categoryorder='total ascending')
fig.show()
Add text to each bar that represents the population
# YOUR CODE HERE
df_2007 = df.query('year==2007')
df_2007_new = df_2007.groupby('continent').sum()
fig = px.bar(df_2007_new,
x="pop",
y=df_2007_new.index,
color=df_2007_new.index,
orientation='h',
text_auto=True
)
fig.update_yaxes(categoryorder='total ascending')
fig.show()
Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years
# YOUR CODE HERE
df_data = df.groupby(["year","continent"]).sum().reset_index()
#df_data
fig = px.bar(df_data,
x="pop",
y="continent",
color="continent",
animation_frame="year",
orientation='h',
#text_auto=True,
range_x=[0,4000000000]
)
fig.update_yaxes(categoryorder='total ascending')
fig.show()
Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years
df_data = df.groupby(["year","country"]).sum().reset_index()
#df_data
fig = px.bar(df_data,
x="pop",
y="country",
color="country",
animation_frame="year",
orientation='h',
#text_auto=True,
range_x=[0,1500000000]
)
fig.update_yaxes(categoryorder='total ascending')
fig.show()
Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation
# YOUR CODE HERE
df_data = df.groupby(["year","country"]).sum().reset_index()
#df_data
fig = px.bar(df_data,
x="pop",
y="country",
color="country",
animation_frame="year",
orientation='h',
#text_auto=True,
range_x=[0,1500000000],
height=1000
)
fig.update_yaxes(categoryorder='total ascending')
fig.show()
# YOUR CODE HERE
df_data = df.groupby(["year","country"]).sum().reset_index()
#df_data
fig = px.bar(df_data,
x="pop",
y="country",
color="country",
animation_frame="year",
orientation='h',
#text_auto=True,
range_x=[0,1500000000],
#height=1000,
range_y=[132,143]
)
fig.update_yaxes(categoryorder='total ascending')
fig.show()